DRIVEResearch

Abstract: For intelligent driving to “drive like a human”, the prerequisite is understanding how humans actually drive. Starting from the concept of “human-like driving”, this post discusses five application directions for human driving behavior research, four paths to obtaining the answer, and the open-data practice our team is pursuing. First published on my WeChat channel in late March 2026; added to this blog in June 2026. Humans have always been fascinated by the study of their own behavior. ...

Abstract: ASIL E is not a published standard. Its real value is not the name of a higher integrity level, but the question it forces Level 4 and Level 5 autonomous-driving safety arguments to answer: when there is no human fallback, can the safety case still credit a human controller? For me, the useful translation is not “ASIL E compliance.” It is a no-human-fallback review lens, four evidence fields in ADSafetyPilot, and a feedback loop connecting ROAM, DRIVEResearch, and a field-monitoring-backed safety case. ...